designing hybrid context layers
by loreto
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
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THE AGENSI STORE
13 skills found
by loreto
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
by Roy Yuen
Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.
by Kevin Cline
Turn plain English app descriptions into fully normalized SQL schemas and entity relationship documentation.
Expert Oracle PL/SQL architect for writing, refactoring, and performance-tuning enterprise database logic.
by Joker
DB type routing, selection decision tree, relational/NoSQL design, performance optimization, 2026 trends.
Plan, review, and execute safe database migrations with automatic rollback plans, backfill strategies, and zero-downtime sequencing.
Schema mistakes are the most expensive kind — code refactors in days, but a wrong table design holds your data hostage for years
Rate limiting fails in two directions: too loose and one bad client takes down the database for everyone; too crude and you rate-limit your own legitimate power users into churn
Scaffold production-grade SaaS architecture including database design, multi-tenancy, and security.
Design, diagnose, and optimize high-performance RAG systems with an engineering-first framework.
Review a database schema, queries, or migration for the mistakes that get expensive in production — bad table design, missing or wrong indexes, slow and N+1 queries, SQL injection, and migrations that lock or break prod. Engine-aware (PostgreSQL, MySQL, SQLite, SQL Server), it runs an ordered review and returns a PASS/REVIEW/BLOCK verdict with prioritized fixes. Schema mistakes are the most expensive kind — this catches them before they ship.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by Timoranjes
Teaches AI coding agents to design safe Prisma schemas that prevent data loss, race conditions, N+1 queries, and the dangerous Prisma migration reset. Covers 12 critical anti-patterns (missing indexes